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A novel lung cancer detection algorithm for CADs based on SSP and Level Set
Zhu, Hongbo; Pak, Chun-Hyok; Song CH(宋纯贺); Dou, Shengchang; Zhao, Hai; Cao, Peng; Ye, Xiangyun
Department工业控制网络与系统研究室
Source PublicationTECHNOLOGY AND HEALTH CARE
ISSN0928-7329
2017
Volume25Issue:S1Pages:S345-S355
Indexed BySCI ; CPCI(ISTP)
WOS IDWOS:000406157200039
Contribution Rank3
Funding OrganizationLiaoning Science and Technology Soft Project(2015401039) ; Liaoning Key Laboratory of Science and Technology(LZ2014015)
KeywordImage Segmentation Malignant Nodule Detection Super-pixels Level-set
AbstractThe fuzzy degree of lung nodule boundary is the most important cue to judge the lung cancer in CT images. Based on this feature, the paper proposes a novel lung cancer detection method for CT images based on the super-pixels and the level set segmentation methods. In the proposed methods, the super-pixels method is used to segment the lung region and the suspected lung cancer lesion region in the CT image. The super-pixels method and a level set method are used to segment the suspected lung cancer lesion region simultaneously. Finally, the cancer is determined by the difference between results of the two segmentation methods. Experimental results show that the proposed algorithm has a high accuracy for lung cancer detection in CT images. For gross glass nodule, pleural nodule, the vascular nodules and solitary nodules, the sensitivity of the detection algorithm are respectively 91.3%, 96.3%, 80.9% and 82.3%.
Language英语
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
WOS SubjectHealth Care Sciences & Services ; Engineering, Biomedical
WOS KeywordCOMPUTER-AIDED DETECTION ; GRADIENT VECTOR FLOW ; NODULE DETECTION ; CT IMAGES ; SEGMENTATION ; TOMOGRAPHY
WOS Research AreaHealth Care Sciences & Services ; Engineering
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20815
Collection工业控制网络与系统研究室
Corresponding AuthorDou, Shengchang
Affiliation1.School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China
2.Electronic Engineering faculty, Kim Chaek University of Technology, Pyongyang 999093, DPRK
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China
4.School of Public Foundation, China Medical University, Shenyang, Liaoning, China
5.Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
Recommended Citation
GB/T 7714
Zhu, Hongbo,Pak, Chun-Hyok,Song CH,et al. A novel lung cancer detection algorithm for CADs based on SSP and Level Set[J]. TECHNOLOGY AND HEALTH CARE,2017,25(S1):S345-S355.
APA Zhu, Hongbo.,Pak, Chun-Hyok.,Song CH.,Dou, Shengchang.,Zhao, Hai.,...&Ye, Xiangyun.(2017).A novel lung cancer detection algorithm for CADs based on SSP and Level Set.TECHNOLOGY AND HEALTH CARE,25(S1),S345-S355.
MLA Zhu, Hongbo,et al."A novel lung cancer detection algorithm for CADs based on SSP and Level Set".TECHNOLOGY AND HEALTH CARE 25.S1(2017):S345-S355.
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